PlenoPatch: Patch-Based Plenoptic Image Manipulation

被引:64
|
作者
Zhang, Fang-Lue [1 ]
Wang, Jue [2 ]
Shechtman, Eli [2 ]
Zhou, Zi-Ye [1 ]
Shi, Jia-Xin [1 ]
Hu, Shi-Min [1 ]
机构
[1] Tsinghua Univ, TNList, Beijing 100084, Peoples R China
[2] Adobe Res, Creat Technol Lab, Seattle, WA 98103 USA
基金
中国博士后科学基金; 国家高技术研究发展计划(863计划);
关键词
Plenoptic image editing; light field; patch-based synthesis; LIGHT-FIELD;
D O I
10.1109/TVCG.2016.2532329
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Patch-based image synthesis methods have been successfully applied for various editing tasks on still images, videos and stereo pairs. In this work we extend patch-based synthesis to plenoptic images captured by consumer-level lenselet-based devices for interactive, efficient light field editing. In our method the light field is represented as a set of images captured from different viewpoints. We decompose the central view into different depth layers, and present it to the user for specifying the editing goals. Given an editing task, our method performs patch-based image synthesis on all affected layers of the central view, and then propagates the edits to all other views. Interaction is done through a conventional 2D image editing user interface that is familiar to novice users. Our method correctly handles object boundary occlusion with semi-transparency, thus can generate more realistic results than previous methods. We demonstrate compelling results on a wide range of applications such as hole-filling, object reshuffling and resizing, changing object depth, light field upscaling and parallax magnification.
引用
收藏
页码:1561 / 1573
页数:13
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